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NEWS: NVIDIA Groq 3 LPX is now in full production.
NVIDIA Vera Rubin NVL72 is the foundation of every AI factory. Paired with Groq 3 LPX, it unlocks faster, smarter agents and breakthrough user experiences.
Through extreme co-design across seven chips and five purpose-built racks, #NVIDIAVeraRubin is the most extensive AI factory platform.
Read the release ⬇️ nvidianews.nvidia.com/news/nvidia-gr…
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Agreed and Swarms on LPX is a super power!
Agent swarms for cyber defense is about to be one of the biggest categories in AI. We are going to have agents reviewing our code and infra, testing every permutation of risk, processing gobs of data, and more.
Security is one of the best use-cases for swarms because it’s an obvious area where more compute in equals more value out. There’s a wide range of testing that people can never get around to - or at least quickly enough - that agents have no problem going after.
Going to be a wild time in cyber.
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Impressive!
We believe voice is the most natural way to interact with intelligence, so we created Dessa, the most authentic full-duplex speech model ever built. Talking with it feels like talking with a person…full of emotion, nuance, pauses, and a natural cadence.
block.xyz/dessa
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Kimi K3.1 Pro launches at 4th on the Artificial Analysis Intelligence Index scoring 55, making large gains in agentic performance; it will be the leading open-weights model once its weights are published
@Kimi_Moonshot's new reasoning model gains 11 points over Kimi K3 (max, ude Opus 5.5 (max with fallback, 58), Claude Sonnet 5.5 (max with fallback, 56), and Muse Wonder Full (max, 56) on the Intelligence Index.
Once the weights for K3.1 Pro are released it will be the highest-scoring open weights model and the gap between the leading open weights and proprietary models on the Intelligence Index will narrow from 12 points to 3.
Key results:
➤ Large gains in agentic performance: Kimi K3.1 Pro scores 3rd on GDPval-AA with 1,846 Elo, up 312 Elo from Kimi K3, behind only Claude Opus 5.5 (1,866 Elo) and Muse Wonder Full (1,857 Elo). Kimi K3.1 Pro also achieves the highest score of any model on Terminal-Bench 4.0. K3.1 Pro scores 67%, up from 13% for Kimi K3 and ahead of Claude Sonnet 5.5 (64%). AutomationBench-AA, which tests agentic SaaS workflows, rises from 58% to 73%.
➤ Gains in other evals are more moderate: Humanity's Last Exam rises from 47% to 52%, CritPt from 23% to 25%, and SciCode from 59% to 61%. AA-Omniscience Index rises from 20 to 30, as the hallucination rate falls from 53% to 44% and accuracy rises from 48% to 51%.
➤ Cost per Task roughly equal to Kimi K3 at $1.98 per Task: K3.1 Pro uses 55K output tokens per Intelligence Index task, 14% more than Kimi K3 at 48K, while its first-party token prices are 33% lower.
Additional model details:
➤ Context window: 1M tokens.
➤ Size: 2.8T total, 104B active parameters
➤ Input modalities: Text and image
➤ Weights and license: Weights currently not published, Moonshot is expected to release the weights soon after launch
➤ Pricing: $2/$10/$0.20 per 1M input/output/cache hit tokens, 33% lower than Kimi K3 on all three rates.
Congratulations to the team at @Kimi_Moonshot on the release!
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Introducing Kimi K3.1 Pro: our most capable 3T-class open-weight model.
🔹 1M-token context, 2.8T total / 104B active params (MoE), Multimodal.
🔹 Full-project coding: games in Unreal, Unity & Godot.
🔹 Excels at parametric 3D modeling in Blender & CAD.
🔹 More reliable at finance with hallucination down by 65%.
🔹 Matching the strongest proprietary models across coding, agentic and knowledge benchmarks.
Kimi K3.1 Pro and K3.1 Pro Highspeed (2–3× faster) are now live on Kimi.ai, Kimi Work, Kimi Code, and the Kimi API.
Open weights by Nov 4, 2026.
🔗 API: platform.kimi.ai
🔗 Tech blog: kimi.ai/blog/kimi-k3-1…
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👀👀👀
WTF, $3000 Samsung TV has an always-on mic, automatic content recognition, geo tracking, network mapping, and ships your data to Samsung + 400 partners.
Bro Rooted a brand-new 2025 Samsung TV after noticing absurdly targeted ads.
Firmware was locked down, so zero-days it was. n found: always-on voice service, ACR, geo, full telemetry pipeline, and four separate DRM systems.
This isn’t a bug, It’s the product bro.
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This is the way…
Linus Torvalds used Claude again to remove years-old, slow and insecure Linux kernel code.
The cleanup is now merged into Linux 7.4 and spans 48 commits.
It targets __get_user() and __put_user(), old memory-access helpers that skip user-address checks. Linus says their advantage disappeared years ago.
He wrote the initial example patch, then used Claude to help apply the same changes elsewhere.
The old calls are gone from generic kernel code, with the interfaces fully removed on x86. Other architectures still retain some uses.
As Linus put it, “we should have done this years ago.”
Source: github.com/torvalds/linux…
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Can't wait to get mine!
The @JensenHuang keynote effect on pollen-robotics.com/microduck pre-orders.
Going to cross 20,000+ total pre-orders probably tomorrow making Microduck probably the most sold robot of 2026?
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Stephen A. Smith on Yaxel Lendeborg calling out Luka Doncic in his postgame presser:
"He's saying, 'If you're so great, stop whining to the officials. Just go out there and if you gonna bust my a*s, bust my a*s. But stop whining to the officials looking to them for help.' ... I was really, really ticked off when that referee gave Yaxel Lendeborg the technical foul... I'm calling out the NBA. NBA gotta stop that nonsense! Let them talk!"
(via @FirstTake)
x.com/nba__courtside…
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I like this rookie!
Yaxel Lenderborg on his NBA debut and guarding Luka: "I got to see what the NBA is like, man. Lot of flopping, lot of foul baiting, lot of praying to the ref. Interesting first game for me... Being in there firsthand, just watching all the whining and complaining, I lost all "
Transcript of this soundbite:
"Yeah, it was interesting. I got to see what the NBA is like, man. Lot of flopping, lot of foul baiting, lot of praying to the ref. Interesting first game for me, for sure.
I had a lot of respect for him (Luka). You know, just watching. I didn't really watch the NBA much, I just watched highlights. Seeing him, you know, kill people all the time. But then being in there firsthand, just watching all the whining and complaining, I lost all respect, man. Like that was awful.
Like me getting frustrated, it's not about the foul being called, it's about him complaining the entire game. And then you get the foul call, congratulations bro. And then you talk to me like you did something great, bro? Come on, dog. That's just weak. It kinda threw me off for a little while, cause you know, like I said, I had so much respect for him. Gone man, gone.
I was telling him he sucks, he can't score on me. You talking and you can't score on me. I said it the whole game. I said a couple cuss words obviously, you know, that's why I got the technical and all that. But I was letting him know, because he was laughing and talking all this because of that one foul call.
His only bucket on me was a banker from half court. Like I know that it's a team sport. You know, he had 28pts on us as a team. Me, I took my matchup personally. Tried not to get caught on the fouls. Tried my best. I was thinking about playing him with my hands behind my back to see if that worked, probably would've still got a foul call."
Transcript via:
reddit.com/r/nba/comments…
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sunny madra retweeted
There’s a world of difference between user-authorized agents (Muse, Instinct, Grokbot, etc.) and true unauthorized/rogue agents that could constitute cyberattacks.
Most of the activity described in the Axios story appears to be the former: customers sharing credentials with agents so they can take actions on their behalf. This may violate bank terms requiring humans to log in themselves, but these are in no way cyberattacks.
The direction banks should go is to support user-directed agents. For example, Amex is an authorized connection in Muse, making it easy for users to grant, limit, and revoke access.
Read-only permission levels are a sensible interim step. Several banks already support or are moving toward them. Full write access (with user credentials) is a different risk category and should be approached carefully.
Frightening the public by blurring the line between user-authorized agentic behavior and cyberattacks is irresponsible.
Most of the activity described in the Axios story appears to be the former: customers sharing credentials with agents so they can take actions on their behalf. This may violate bank terms requiring humans to log in themselves, but these are in no way cyberattacks.
The direction banks should go is to support user-directed agents. For example, Amex is an authorized connection in Muse, making it easy for users to grant, limit, and revoke access.
Read-only permission levels are a sensible interim step. Several banks already support or are moving toward them. Full write access (with user credentials) is a different risk category and should be approached carefully.
Frightening the public by blurring the line between user-authorized agentic behavior and cyberattacks is irresponsible.
SCOOP: Major U.S. banks are detecting unauthorized third-party AI agents inside customer accounts, including some attempting to take actions that appear to be independent of user instructions, sources told Axios.
The findings have alarmed banking executives, who are racing to restrict access to their systems as AI moves at a velocity faster than financial institutions can respond, multiple industry and bank executives told Axios.
Several banks are now preparing for worst-case and even “day after” scenarios, including how to rapidly secure or restore customer accounts if things go wrong, the people said.
Several bank executives told Axios they're struggling to distinguish between human users and AI agents. One executive said banks also struggle to determine whether agents are authorized by customers or potentially operating without their permission, more akin to rogue agent behavior.
Read my latest for Axios here: axios.com/2026/10/22/ai-…
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BREAKING: IBM stock, $IBM, surges over +6% after reporting stronger than expected earnings due to AI.
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